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Ren F, Jin Q, Liu T, Ren X, Zhan Y. Proteome-wide mendelian randomization study implicates therapeutic targets in common cancers. J Transl Med 2023; 21:646. [PMID: 37735436 PMCID: PMC10512580 DOI: 10.1186/s12967-023-04525-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 09/13/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND The interest in targeted cancer therapies has been growing rapidly. While numerous cancer biomarkers and targeted treatment strategies have been developed and employed, there are still significant limitations and challenges in the early diagnosis and targeted treatment of cancers. Accordingly, there is an urgent need to identify novel targets and develop new targeted drugs. METHODS The study was conducted using combined cis-Mendelian randomization (cis-MR) and colocalization analysis. We analyzed data from 732 plasma proteins to identify potential drug targets associated with eight site-specific cancers. These findings were further validated using the UK Biobank dataset. Then, a protein-protein interaction network was also constructed to examine the interplay between the identified proteins and the targets of existing cancer medications. RESULTS This MR analysis revealed associations between five plasma proteins and prostate cancer, five with breast cancer, and three with lung cancer. Subsequently, these proteins were classified into four distinct target groups, with a focus on tier 1 and 2 targets due to their higher potential to become drug targets. Our study indicatied that genetically predicted KDELC2 (OR: 0.89, 95% CI 0.86-0.93) and TNFRSF10B (OR: 0.74, 95% CI 0.65-0.83) are inversely associated with prostate cancer. Furthermore, we observed an inverse association between CPNE1 (OR: 0.96, 95% CI 0.94-0.98) and breast cancer, while PDIA3 (OR: 1.19, 95% CI 1.10-1.30) were found to be associated with the risk of breast cancer. In addition, we also propose that SPINT2 (OR: 1.05, 95% CI 1.03-1.06), GSTP1 (OR: 0.82, 95% CI 0.74-0.90), and CTSS (OR: 0.91, 95% CI 0.88-0.95) may serve as potential therapeutic targets in prostate cancer. Similarly, GDI2 (OR: 0.85, 95% CI 0.80-0.91), ISLR2 (OR: 0.87, 95% CI 0.82-0.93), and CTSF (OR: 1.14, 95% CI 1.08-1.21) could potentially be targets for breast cancer. Additionally, we identified SFTPB (OR: 0.93, 95% CI 0.91-0.95), ICAM5 (OR: 0.95, 95% CI 0.93-0.97), and FLRT3 (OR: 1.10, 95% CI 1.05-1.15) as potential targets for lung cancer. Notably, TNFRSF10B, GSTP1, and PDIA3 were found to interact with the target proteins of current medications used in prostate or breast cancer treatment. CONCLUSIONS This comprehensive analysis has highlighted thirteen plasma proteins with potential roles in three site-specific cancers. Continued research in this area may reveal their therapeutic potential, particularly KDELC2, TNFRSF10B, CPNE1, and PDIA3, paving the way for more effective cancer treatments.
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Affiliation(s)
- Feihong Ren
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Qiubai Jin
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Tongtong Liu
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Xuelei Ren
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China
| | - Yongli Zhan
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
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2
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MIL-88B(Fe)-reduced graphene oxide as an artificial enzyme for gold nanorod etching and its application to develop the prostate-specific antigen immunosensor. Mikrochim Acta 2022; 189:458. [DOI: 10.1007/s00604-022-05540-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 10/15/2022] [Indexed: 11/24/2022]
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3
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Song SH, Kim H, Kim JK, Lee H, Oh JJ, Lee SC, Jeong SJ, Hong SK, Lee J, Yoo S, Choo MS, Cho MC, Son H, Jeong H, Suh J, Byun SS. A smart, practical, deep learning-based clinical decision support tool for patients in the prostate-specific antigen gray zone: model development and validation. J Am Med Inform Assoc 2022; 29:1949-1957. [PMID: 36040195 PMCID: PMC9552291 DOI: 10.1093/jamia/ocac141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 07/21/2022] [Accepted: 08/16/2022] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Despite efforts to improve screening and early detection of prostate cancer (PC), no available biomarker has shown acceptable performance in patients with prostate-specific antigen (PSA) gray zones. We aimed to develop a deep learning-based prediction model with minimized parameters and missing value handling algorithms for PC and clinically significant PC (CSPC). MATERIALS AND METHODS We retrospectively analyzed data from 18 824 prostate biopsies collected between March 2003 and December 2020 from 2 databases, resulting in 12 739 cases in the PSA gray zone of 2.0-10.0 ng/mL. Dense neural network (DNN) and extreme gradient boosting (XGBoost) models for PC and CSPC were developed with 5-fold cross-validation. The area under the curve of the receiver operating characteristic (AUROC) was compared with that of serum PSA, PSA density, free PSA (fPSA) portion, and prostate health index (PHI). RESULTS The AUROC values in the DNN model with the imputation of missing values were 0.739 and 0.708 (PC) and 0.769 and 0.742 (CSPC) in internal and external validation, whereas those of the non-imputed dataset were 0.740 and 0.771 (PC) and 0.807 and 0.771 (CSPC), respectively. The performance of the DNN model was like that of the XGBoost model, but better than all tested clinical biomarkers for both PC and CSPC. The developed DNN model outperformed PHI, serum PSA, and percent-fPSA with or without missing value imputation. DISCUSSION DNN models for missing value imputation can be used to predict PC and CSPC. Further validation in real-life scenarios are need to recommend for actual implementation, but the results from our study support the increasing role of deep learning analytics in the clinical setting. CONCLUSIONS A deep learning model for PC and CSPC in PSA gray zones using minimal, routinely used clinical parameter variables and data imputation of missing values was successfully developed and validated.
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Affiliation(s)
- Sang Hun Song
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Hwanik Kim
- Department of Urology, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Jung Kwon Kim
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Hakmin Lee
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Jong Jin Oh
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Sang-Chul Lee
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Seong Jin Jeong
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Sung Kyu Hong
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, South Korea
| | - Junghoon Lee
- Department of Urology, Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Sangjun Yoo
- Department of Urology, Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Min-Soo Choo
- Department of Urology, Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Min Chul Cho
- Department of Urology, Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Hwancheol Son
- Department of Urology, Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Hyeon Jeong
- Department of Urology, Seoul Metropolitan Government–Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Jungyo Suh
- Department of Urology, Asan Medical Center, Seoul, South Korea
- Bioinformatics Center of Curigin Ltd., Seoul, South Korea
| | - Seok-Soo Byun
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Medical Device Development, Seoul National University College of Medicine, Seoul, South Korea
- Procagen, Seongnam, South Korea
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Stan M, Botnarciuc V, Suceveanu AI, Mazilu L, Costea DO, Suceveanu AP, Serban D, Tudor C, Mitroi A, Brinzan C, Voinea F. Role of glutathione-S-transferase gene P1 in the diagnosis of prostate cancer in patients with 'grey level' prostate-specific antigen values. Exp Ther Med 2022; 24:591. [PMID: 35949339 PMCID: PMC9353464 DOI: 10.3892/etm.2022.11528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 07/11/2022] [Indexed: 11/06/2022] Open
Abstract
Prostate cancer (PC) represents the second most frequent cancer diagnosis in men and, at the same time, is one of the top six causes of death worldwide. The aim of the present study was to evaluate the diagnostic value of glutathione-S-transferase gene P1 (GST-P1) in patients that fall within the 'grey area' of the prostate-specific antigen (PSA) values. A retrospective observational study on 80 patients with prostate abnormal volumes and PSA values in the range 4-10 ng/ml was performed. The prostate gland was extracted following transrectal ultrasonography, and GST-P1 gene expression was analysed. A histopathological examination was considered the gold standard for PC diagnosis. Among the 53 patients diagnosed with PC, 69.8% (n=37) were GST-P1-positive, whereas, among the 27 patients diagnosed with benign prostatic hyperplasia, 18.5% (n=5) were GST-P1-positive. The sensitivity for diagnosing PC in patients with PSA values between 4 and 10 ng/ml was 69.81%, and the specificity was 81.48%. The positive predictive value was 88.1% [95% confidence interval (CI), 74.37-96.02%] and the negative predictive value was 57.89% (95% CI, 40.82-73.69%). Collectively, these results show the potential of using GST-P1 gene expression in patients who are suspected of having PC, but where the PSA values are inconclusive.
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Affiliation(s)
- Marius Stan
- Urology Clinic, Emergency Clinical Hospital Constanta, 900591 Constanta, Romania
- Doctoral School of Medicine, ‘Ovidius’ University Constanta, 900470 Constanta, Romania
| | - Vladimir Botnarciuc
- Doctoral School of Medicine, ‘Ovidius’ University Constanta, 900470 Constanta, Romania
| | | | - Laura Mazilu
- Faculty of Medicine, ‘Ovidius’ University Constanta, 900470 Constanta, Romania
| | | | | | - Dragos Serban
- Faculty of Medicine, ‘Carol Davila’ University of Medicine and Pharmacy, Bucharest 050474, Romania
- Fourth Department of Surgery, Emergency University Hospital Bucharest, 050098 Bucharest, Romania
| | - Corneliu Tudor
- Fourth Department of Surgery, Emergency University Hospital Bucharest, 050098 Bucharest, Romania
| | - Anca Mitroi
- Department of Anatomopathology, Emergency Clinical Hospital Constanta, 900591 Constanta, Romania
| | - Costel Brinzan
- Center for Research and Development of the Morphological and Genetic Studies of Malignant Pathology (CEDMOG), ‘Ovidius’ University Constanta, 900470 Constanta, Romania
| | - Felix Voinea
- Urology Clinic, Emergency Clinical Hospital Constanta, 900591 Constanta, Romania
- Faculty of Medicine, ‘Ovidius’ University Constanta, 900470 Constanta, Romania
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Constâncio V, Tavares NT, Henrique R, Jerónimo C, Lobo J. MiRNA biomarkers in cancers of the male reproductive system: are we approaching clinical application? Andrology 2022; 11:651-667. [PMID: 35930290 DOI: 10.1111/andr.13258] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 07/28/2022] [Accepted: 08/02/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Specific cancer types face specific clinical management challenges. Owing to their stability, robustness and fast, easy, and cost-effective detection, microRNAs (miRNAs) are attractive candidate biomarkers to the clinic. OBJECTIVES Based on a comprehensive review of the relevant literature in the field, we explore the potential of miRNAs as biomarkers to answer relevant clinical dilemmas inherent to cancers of the male reproductive tract (prostate (PCa), testis (TGCTs) and penis (PeCa)) and identify some of the challenges/limitations hampering their widely application. RESULTS AND DISCUSSION We conclude that the use of miRNAs as biomarkers is at different stages for these distinct cancer types. While for TGCTs, miRNA-371a-3p is universally accepted to fill in important clinicals gaps and is moving fast towards clinical implementation, for PCa almost no overlap of miRNAs exists between studies, denoting the absence of a consistent miRNA biomarker, and for PeCa the field of miRNAs has just recently started, with only a few studies attempting to explore their clinical usefulness. CONCLUSION Technological advances influencing miRNA detection and quantification will be instrumental to continue to move forward with implementation of miRNAs in the clinic as biomarkers for non-invasive diagnosis, risk stratification, treatment monitoring and follow-up. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Vera Constâncio
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Doctoral Programme in Biomedical Sciences, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
| | - Nuno Tiago Tavares
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal
| | - Rui Henrique
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology and Molecular Immunology, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
| | - Carmen Jerónimo
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology and Molecular Immunology, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
| | - João Lobo
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto / Porto Comprehensive Cancer Centre (Porto.CCC), R. Dr. António Bernardino de Almeida, Porto, 4200-072, Portugal.,Department of Pathology and Molecular Immunology, School of Medicine & Biomedical Sciences, University of Porto (ICBAS-UP), Rua Jorge Viterbo Ferreira 228, Porto, 4050-513, Portugal
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Jin Y, Jung JH, Han WK, Hwang EC, Nho Y, Lee N, Yun JE, Lee KS, Lee SH, Lee H, Yu SY. Diagnostic accuracy of prostate-specific antigen below 4 ng/mL as a cutoff for diagnosing prostate cancer in a hospital setting: A systematic review and meta-analysis. Investig Clin Urol 2022; 63:251-261. [PMID: 35534215 PMCID: PMC9091828 DOI: 10.4111/icu.20210429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/24/2021] [Accepted: 01/19/2022] [Indexed: 11/18/2022] Open
Abstract
PURPOSE A prostate-specific antigen (PSA) cutoff of 4 ng/mL has been widely used for prostate cancer screening in population-based settings. However, the accuracy of PSA below 4 ng/mL as a cutoff for diagnosing prostate cancer in a hospital setting is inconclusive. We systematically reviewed the accuracy of PSA below 4 ng/mL cutoff in a hospital setting. MATERIALS AND METHODS We systematically reviewed the literature by searching major databases until March 2020, and a meta-analysis and quality assessment were performed. RESULTS A total of 11 studies were included at the completion of the screening process. The meta-analysis showed a sensitivity of 0.92 and a specificity of 0.16 for a PSA cutoff below 4 ng/mL. The area under the hierarchical summary receiver operating characteristic curve was 0.87, the positive likelihood ratio was 1.23, the negative likelihood ratio was 0.46, and the diagnostic odds ratio was 2.64. PSA sensitivities and specificities varied according to the cutoff range: 0.94 and 0.17 for 2 to 2.99 ng/mL, and 0.92 and 0.16 for 3 to 3.99 ng/mL, respectively. No significant differences in the sensitivity and specificity of PSA cutoffs in the range of 2 to 2.99 ng/mL and 3 to 3.99 ng/mL were found. CONCLUSIONS Although a PSA cutoff <3 ng/mL is relatively more sensitive and specific than PSA ≥3 ng/mL, no significant differences in sensitivity and specificity were found in the diagnosis of prostate cancer. Therefore, clinicians should choose an appropriate PSA cutoff on the basis of clinical circumstances and patients' characteristics.
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Affiliation(s)
- Yan Jin
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Jae Hung Jung
- Department of Urology, Yonsei University Wonju College of Medicine, Wonju, Korea
- Center of Evidence Based Medicine, Institute of Convergence Science, Yonsei University, Seoul, Korea
| | - Woong Kyu Han
- Department of Urology, Yonsei University College of Medicine, Seoul, Korea
| | - Eu Chang Hwang
- Department of Urology, Chonnam National University Medical School, Gwangju, Korea
| | - Yoonmi Nho
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Narae Lee
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Ji Eun Yun
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Kwang Suk Lee
- Department of Urology, Gangnam Sevrance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Hyub Lee
- Department of Urology, Kyung Hee University Medical Center, Seoul, Korea
| | - Hakmin Lee
- Department of Urology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Su-Yeon Yu
- National Evidence-based Healthcare Collaborating Agency, Seoul, Korea.
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7
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Herrero-Aguayo V, Sáez-Martínez P, Jiménez-Vacas JM, Moreno-Montilla MT, Montero-Hidalgo AJ, Pérez-Gómez JM, López-Canovas JL, Porcel-Pastrana F, Carrasco-Valiente J, Anglada FJ, Gómez-Gómez E, Yubero-Serrano EM, Ibañez-Costa A, Herrera-Martínez AD, Sarmento-Cabral A, Gahete MD, Luque RM. Dysregulation of the miRNome unveils a crosstalk between obesity and prostate cancer: miR-107 asa personalized diagnostic and therapeutic tool. MOLECULAR THERAPY. NUCLEIC ACIDS 2022; 27:1164-1178. [PMID: 35282415 PMCID: PMC8889365 DOI: 10.1016/j.omtn.2022.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 02/10/2022] [Indexed: 04/12/2023]
Abstract
Prostate-specific antigen (PSA) is the gold-standard marker to screen prostate cancer (PCa) nowadays. Unfortunately, its lack of specificity and sensitivity makes the identification of novel tools to diagnose PCa an urgent medical need. In this context, microRNAs (miRNAs) have emerged as potential sources of non-invasive diagnostic biomarkers in several pathologies. Therefore, this study was aimed at assessing for the first time the dysregulation of the whole plasma miRNome in PCa patients and its putative implication in PCa from a personalized perspective (i.e., obesity condition). Plasma miRNome from a discovery cohort (18 controls and 19 PCa patients) was determined using an Affymetrix-miRNA array, showing that the expression of 104 miRNAs was significantly altered, wherein six exhibited a significant receiver operating characteristic (ROC) curve to distinguish between control and PCa patients (area under the curve [AUC] = 1). Then, a systematic validation using an independent cohort (135 controls and 160 PCa patients) demonstrated that miR-107 was the most profoundly altered miRNA in PCa (AUC = 0.75). Moreover, miR-107 levels significantly outperformed the ability of PSA to distinguish between control and PCa patients and correlated with relevant clinical parameters (i.e., PSA). These differences were more pronounced when considering only obese patients (BMI > 30). Interestingly, miR-107 levels were reduced in PCa tissues versus non-tumor tissues (n = 84) and in PCa cell lines versus non-tumor cells. In vitro miR-107 overexpression altered key aggressiveness features in PCa cells (i.e., proliferation, migration, and tumorospheres formation) and modulated the expression of important genes involved in PCa pathophysiology (i.e., lipid metabolism [i.e., FASN] and splicing process). Altogether, miR-107 might represent a novel and useful personalized diagnostic and prognostic biomarker and a potential therapeutic tool in PCa, especially in obese patients.
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Affiliation(s)
- Vicente Herrero-Aguayo
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Prudencio Sáez-Martínez
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Juan M. Jiménez-Vacas
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - M. Trinidad Moreno-Montilla
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Antonio J. Montero-Hidalgo
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Jesús M. Pérez-Gómez
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Juan L. López-Canovas
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Francisco Porcel-Pastrana
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Julia Carrasco-Valiente
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Urology Service, HURS/IMIBIC, 14004 Córdoba, Spain
| | - Francisco J. Anglada
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Urology Service, HURS/IMIBIC, 14004 Córdoba, Spain
| | - Enrique Gómez-Gómez
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Urology Service, HURS/IMIBIC, 14004 Córdoba, Spain
| | - Elena M. Yubero-Serrano
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
- Lipids and Atherosclerosis Unit, HURS/IMIBIC, 14004 Córdoba, Spain
| | - Alejandro Ibañez-Costa
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Aura D. Herrera-Martínez
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Endocrinology and Nutrition Service, HURS/IMIBIC, 14004 Córdoba, Spain
| | - André Sarmento-Cabral
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
| | - Manuel D. Gahete
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
- Corresponding author Manuel D. Gahete, Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain.
| | - Raúl M. Luque
- Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain
- Department of Cell Biology, Physiology, and Immunology, University of Córdoba, 14014 Córdoba, Spain
- Hospital Universitario Reina Sofía (HURS), 14004 Córdoba, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, (CIBERobn), 28019 Madrid, Spain
- Corresponding author Raúl M. Luque, Maimonides Institute for Biomedical Research of Córdoba (IMIBIC), Edificio IMIBIC, Av. Menéndez Pidal s/n, 14004 Córdoba, Spain.
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8
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Mello-Grand M, Bruno A, Sacchetto L, Cristoni S, Gregnanin I, Dematteis A, Zitella A, Gontero P, Peraldo-Neia C, Ricotta R, Noonan DM, Albini A, Chiorino G. Two Novel Ceramide-Like Molecules and miR-5100 Levels as Biomarkers Improve Prediction of Prostate Cancer in Gray-Zone PSA. Front Oncol 2021; 11:769158. [PMID: 34868998 PMCID: PMC8640468 DOI: 10.3389/fonc.2021.769158] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 10/25/2021] [Indexed: 01/04/2023] Open
Abstract
Reliable liquid biopsy-based tools able to accurately discriminate prostate cancer (PCa) from benign prostatic hyperplasia (BPH), when PSA is within the “gray zone” (PSA 4–10), are still urgent. We analyzed plasma samples from a cohort of 102 consecutively recruited patients with PSA levels between 4 and 16 ng/ml, using the SANIST-Cloud Ion Mobility Metabolomic Mass Spectrometry platform, combined with the analysis of a panel of circulating microRNAs (miR). By coupling CIMS ion mobility technology with SANIST, we were able to reveal three new structures among the most differentially expressed metabolites in PCa vs. BPH. In particular, two were classified as polyunsaturated ceramide ester-like and one as polysaturated glycerol ester-like. Penalized logistic regression was applied to build a model to predict PCa, using six circulating miR, seven circulating metabolites, and demographic/clinical variables, as covariates. Four circulating metabolites, miR-5100, and age were selected by the model, and the corresponding prediction score gave an AUC of 0.76 (C.I. = 0.66–0.85). At a specified cut-off, no high-risk tumor was misclassified, and 22 out of 53 BPH were correctly identified, reducing by 40% the false positives of PSA. We developed and applied a novel, minimally invasive, liquid biopsy-based powerful tool to characterize novel metabolites and identified new potential non-invasive biomarkers to better predict PCa, when PSA is uninformative as a tool for precision medicine in genitourinary cancers.
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Affiliation(s)
| | - Antonino Bruno
- Laboratory of Innate Immunity, Unit of Molecular Pathology, Biochemistry, and Immunology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Lidia Sacchetto
- Department of Mathematical Sciences, Politecnico di Torino, Torino, Italy
| | - Simone Cristoni
- I.S.B.-Ion Source & Biotechnologies srl, Biotechnology, Bresso, Italy
| | - Ilaria Gregnanin
- Cancer Genomics Laboratory, Fondazione Edo ed Elvo Tempia, Biella, Italy
| | - Alessandro Dematteis
- Department of Urology, San Giovanni Battista Hospital of Torino, Corso Torino, Italy
| | - Andrea Zitella
- Department of Urology, San Giovanni Battista Hospital of Torino, Corso Torino, Italy
| | - Paolo Gontero
- Department of Urology, San Giovanni Battista Hospital of Torino, Corso Torino, Italy
| | | | - Riccardo Ricotta
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Douglas M Noonan
- Immunology and General Pathology Laboratory, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.,Unit of Molecular Pathology, Biochemistry, and Immunology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Adriana Albini
- Laboratory of Vascular Cell Biology and Angiogenesis Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Giovanna Chiorino
- Cancer Genomics Laboratory, Fondazione Edo ed Elvo Tempia, Biella, Italy
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9
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Jiménez-Vacas JM, Montero-Hidalgo AJ, Gómez-Gómez E, Fuentes-Fayos AC, Ruiz-Pino F, Guler I, Camargo A, Anglada FJ, Carrasco-Valiente J, Tena-Sempere M, Sarmento-Cabral A, Castaño JP, Gahete MD, Luque RM. In1-Ghrelin Splicing Variant as a Key Element in the Pathophysiological Association Between Obesity and Prostate Cancer. J Clin Endocrinol Metab 2021; 106:e4956-e4968. [PMID: 34255835 DOI: 10.1210/clinem/dgab516] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
CONTEXT Recent studies emphasize the importance of considering the metabolic status to develop personalized medicine approaches. This is especially relevant in prostate cancer (PCa), wherein the diagnostic capability of prostate-specific antigen (PSA) dramatically drops when considering patients with PSA levels ranging from 3 to 10 ng/mL, the so-called grey zone. Hence, additional noninvasive diagnostic and/or prognostic PCa biomarkers are urgently needed, especially in the metabolic-status context. OBJECTIVE To assess the potential relation of urine In1-ghrelin (a ghrelin-splicing variant) levels with metabolic-related/pathological conditions (eg, obesity, diabetes, body mass index, insulin and glucose levels) and to define its potential clinical value in PCa (diagnostic/prognostic capacity) and relationship with PCa risk in patients with PSA in the grey zone. METHODS Urine In1-ghrelin levels were measured by radioimmunoassay in a clinically, metabolically, pathologically well-characterized cohort of patients without (n = 397) and with (n = 213) PCa with PSA in the grey zone. RESULTS Key obesity-related factors associated with PCa risk (BMI, diabetes, glucose and insulin levels) were strongly correlated to In1-ghrelin levels. Importantly, In1-ghrelin levels were higher in PCa patients compared to control patients with suspect of PCa but negative biopsy). Moreover, high In1-ghrelin levels were associated with increased PCa risk and linked to PCa aggressiveness (eg, tumor stage, lymphovascular invasion). In1-ghrelin levels added significant diagnostic value to a clinical model consisting of age, suspicious digital rectal exam, previous biopsy, and PSA levels. Furthermore, a multivariate model consisting of clinical and metabolic variables, including In1-ghrelin levels, showed high specificity and sensitivity to diagnose PCa (area under the receiver operating characteristic curve = 0.740). CONCLUSIONS Urine In1-ghrelin levels are associated with obesity-related factors and PCa risk and aggressiveness and could represent a novel and valuable noninvasive PCa biomarker, as well as a potential link in the pathophysiological relationship between obesity and PCa.
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Affiliation(s)
- Juan M Jiménez-Vacas
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - Antonio J Montero-Hidalgo
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - Enrique Gómez-Gómez
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- Urology Service, HURS/IMIBIC, Cordoba, Spain
| | - Antonio C Fuentes-Fayos
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - Francisco Ruiz-Pino
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - Ipek Guler
- Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat), Katholiek Universiteit (KU) Leuven, University of Leuven, Leuven, Belgium
| | - Antonio Camargo
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
- Lipids and Atherosclerosis Unit, Internal Medicine Unit, Reina Sofia University Hospital, Cordoba, Spain
| | - Francisco J Anglada
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- Urology Service, HURS/IMIBIC, Cordoba, Spain
| | - Julia Carrasco-Valiente
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- Urology Service, HURS/IMIBIC, Cordoba, Spain
| | - Manuel Tena-Sempere
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - André Sarmento-Cabral
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - Justo P Castaño
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - Manuel D Gahete
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
| | - Raúl M Luque
- Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Cordoba, Spain
- Department of Cell Biology, Physiology and Immunology, University of Cordoba, Cordoba, Spain
- Reina Sofia University Hospital (HURS), Cordoba, Spain
- CIBER Physiopathology of Obesity and Nutrition (CIBERobn), Cordoba, Spain
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10
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Garrido MM, Ribeiro RM, Krüger K, Pinheiro LC, Guimarães JT, Holdenrieder S. Relevance of Circulating Nucleosomes, HMGB1 and sRAGE for Prostate Cancer Diagnosis. In Vivo 2021; 35:2207-2212. [PMID: 34182498 DOI: 10.21873/invivo.12492] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND/AIM Evasion from cell death occurs in prostate cancer (PCa). We verified whether serum levels of cell death markers can have diagnostic value in PCa. PATIENTS AND METHODS A total of 233 men scheduled for prostate biopsy [prostate specific antigen (PSA) level: 2-10 ng/ml] were enrolled. Serum nucleosomes, nucleosomes containing the H3 histone (H3), high mobility group box 1 (HMGB1), and soluble receptor for advanced glycation end products (sRAGE) were analyzed by enzyme immunoassays. RESULTS There were no differences (p>0.05) in nucleosomes, H3, and sRAGE levels between patients with and without PCa or clinically significant PCa (csPCa). HMGB1 had lower levels in PCa patients (p=0.023) and was a predictor of PCa (p=0.047), but not of csPCa (p=0.180). CONCLUSION In patients with critical PSA levels between 2-10 ng/ml, HMGB1 had some diagnostic value for overall PCa detection, but it was not predictive of csPCa. Nucleosomes, H3 and sRAGE did not discriminate between PCa or csPCa and controls.
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Affiliation(s)
- Manuel M Garrido
- Department of Clinical Pathology, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal; .,Department of Laboratory Medicine, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| | - Ruy M Ribeiro
- Biomathematics Laboratory, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal
| | - Kimberly Krüger
- Institute of Laboratory Medicine, Munich Biomarker Research Center, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Luís C Pinheiro
- Department of Urology, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal.,Department of Urology, Faculdade de Ciências Médicas da Universidade Nova de Lisboa, Lisbon, Portugal
| | - João T Guimarães
- Department of Clinical Pathology, Centro Hospitalar Universitário de São João, Porto, Portugal.,Department of Biomedicine, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.,EPIUnit, Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal
| | - Stefan Holdenrieder
- Institute of Laboratory Medicine, Munich Biomarker Research Center, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
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11
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Tumedei MM, Ravaioli S, Matteucci F, Celli M, De Giorgi U, Gunelli R, Puccetti M, Paganelli G, Bravaccini S. Spotlight on PSMA as a new theranostic biomarker for bladder cancer. Sci Rep 2021; 11:9777. [PMID: 33963223 PMCID: PMC8105396 DOI: 10.1038/s41598-021-89160-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 04/14/2021] [Indexed: 12/24/2022] Open
Abstract
Bladder cancer (BCa) patients are diagnosed by cytology and cystoscopy. However, these diagnostic tests bear some limitations. We sought for reliable biomarkers to better determine BCa extension. Prostate-specific membrane antigen (PSMA) appears to fulfill this requirement in prostate cancer but its role in BCa has not been established yet. We then analyzed 87 bladder tissue samples from 74 patients assessing PSMA expression by immunohistochemistry. The median PSMA expression, exclusively found in tumor neovasculature, in terms of H-score significantly differed between non-tumor samples and tumor samples (p = 0.00288) showing a higher neovasculature-related PSMA expression. No differences were observed in relation to tumor type, grade and stage. BCa neovasculature-related PSMA overexpression may be useful in defining the degree of extension of the neoplasm. In addition, testing PSMA expression by immunohistochemistry may hold theranostic implications both considering anti-angiogenesis agents and radio-labelled PSMA ligands for intracavitary radionuclide therapy. In our opinion, BCa neovasculature-related PSMA overexpression may be considered an apt target for anti-angiogenesis and radionuclide treatment in BCa, once the evaluation of tumor-retention time for the appropriateness of long half-life therapeutic PSMA ligands as radionuclide treatment will be performed.
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Affiliation(s)
- Maria Maddalena Tumedei
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P. Maroncelli 40, 47014, Meldola, Italy
| | - Sara Ravaioli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P. Maroncelli 40, 47014, Meldola, Italy.
| | - Federica Matteucci
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P. Maroncelli 40, 47014, Meldola, Italy
| | - Monica Celli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P. Maroncelli 40, 47014, Meldola, Italy
| | - Ugo De Giorgi
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P. Maroncelli 40, 47014, Meldola, Italy
| | - Roberta Gunelli
- Department of Urology, Morgagni Pierantoni Hospital, Forli, Italy
| | | | - Giovanni Paganelli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P. Maroncelli 40, 47014, Meldola, Italy
| | - Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Via P. Maroncelli 40, 47014, Meldola, Italy
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12
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Balázs K, Antal L, Sáfrány G, Lumniczky K. Blood-Derived Biomarkers of Diagnosis, Prognosis and Therapy Response in Prostate Cancer Patients. J Pers Med 2021; 11:296. [PMID: 33924671 PMCID: PMC8070149 DOI: 10.3390/jpm11040296] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 03/31/2021] [Accepted: 04/03/2021] [Indexed: 12/11/2022] Open
Abstract
Prostate cancer is among the most frequent cancers in men worldwide. Despite the fact that multiple therapeutic alternatives are available for its treatment, it is often discovered in an advanced stage as a metastatic disease. Prostate cancer screening is based on physical examination of prostate size and prostate-specific antigen (PSA) level in the blood as well as biopsy in suspect cases. However, these markers often fail to correctly identify the presence of cancer, or their positivity might lead to overdiagnosis and consequent overtreatment of an otherwise silent non-progressing disease. Moreover, these markers have very limited if any predictive value regarding therapy response or individual risk for therapy-related toxicities. Therefore, novel, optimally liquid biopsy-based (blood-derived) markers or marker panels are needed, which have better prognostic and predictive value than the ones currently used in the everyday routine. In this review the role of circulating tumour cells, extracellular vesicles and their microRNA content, as well as cellular and soluble immunological and inflammation- related blood markers for prostate cancer diagnosis, prognosis and prediction of therapy response is discussed. A special emphasis is placed on markers predicting response to radiotherapy and radiotherapy-related late side effects.
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Affiliation(s)
| | | | | | - Katalin Lumniczky
- Unit of Radiation Medicine, Department of Radiobiology and Radiohygiene, National Public Health Centre, 1221 Budapest, Hungary; (K.B.); (L.A.); (G.S.)
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13
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Moran AB, Domínguez-Vega E, Nouta J, Pongracz T, de Reijke TM, Wuhrer M, Lageveen-Kammeijer GSM. Profiling the proteoforms of urinary prostate-specific antigen by capillary electrophoresis - mass spectrometry. J Proteomics 2021; 238:104148. [PMID: 33618028 DOI: 10.1016/j.jprot.2021.104148] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/26/2021] [Accepted: 01/31/2021] [Indexed: 01/07/2023]
Abstract
Early detection of prostate cancer may lead to the overdiagnosis and overtreatment of patients as well as missing significant cancers. The current diagnostic approach uses elevated serum concentrations of prostate-specific antigen (PSA) as an indicator of risk. However, this test has been widely criticized as it shows poor specificity and sensitivity. In order to improve early detection and diagnosis, several studies have investigated whether different PSA proteoforms are correlated to prostate cancer. Until now, studies and methodologies for the comprehensive characterization of PSA proteoforms from biofluids are scarce. For this purpose, we developed an intact protein assay to analyze PSA by capillary electrophoresis-electrospray ionization-mass spectrometry after affinity purification from patients' urine. Here, we determined six proteolytic cleavage variants. In regard to glycosylation, tri-, di-, mono- and non-sialylated complex-type N-glycans were found on non-cleaved PSA, as well as the non-glycosylated variant. The performance of the intact protein assay was assessed using a pooled sample, obtaining an inter-day variability of 15%. Furthermore, urinary patient samples were analyzed by intact protein analysis and a bottom-up approach (glycopeptide analysis). This combined approach revealed complimentary information on both levels, demonstrating the benefit of using two orthogonal techniques to provide a thorough profile of urinary PSA. SIGNIFICANCE: The detection of clinically relevant prostate cancer requires a more specific and sensitive biomarker and, in this case, several PSA proteoforms may be able to aid or improve the current PSA test. However, a comprehensive analysis of the intact PSA proteoform profile is still lacking. This study investigated the PSA proteoforms present in urine and, in particular, determined the relative contribution of cleaved PSA and non-cleaved PSA forms to the total glycosylation profile. Importantly, intact protein analysis did not require further sample treatment before being measured by CE-ESI-MS. Furthermore, its glycosylation was also assessed in a bottom-up approach to provide complementary information. Overall, these results represent an important basis for future characterization and biomarker studies.
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Affiliation(s)
- Alan B Moran
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, the Netherlands
| | - Elena Domínguez-Vega
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, the Netherlands
| | - Jan Nouta
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, the Netherlands
| | - Tamas Pongracz
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, the Netherlands
| | - Theo M de Reijke
- Amsterdam UMC, location Academic Medical Center, Department of Urology, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands
| | - Manfred Wuhrer
- Leiden University Medical Center, Center for Proteomics and Metabolomics, 2300 RC Leiden, the Netherlands
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14
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Kotova ES, Savochkina YA, Doludin YV, Vasilyev AO, Prilepskay EA, Potoldykova NV, Babalyan KA, Kanygina AV, Morozov AO, Govorov AV, Enikeev DV, Kostryukova ES, Ilina EN, Govorun VM, Pushkar DY, Sharova EI. Identification of Clinically Significant Prostate Cancer by Combined PCA3 and AMACR mRNA Detection in Urine Samples. Res Rep Urol 2020; 12:403-413. [PMID: 32984088 PMCID: PMC7505712 DOI: 10.2147/rru.s262310] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/19/2020] [Indexed: 12/27/2022] Open
Abstract
Purpose Preclinical evaluation of PCA3 and AMACR transcript simultaneous detection in urine to diagnose clinical significant prostate cancer (prostate cancer with Gleason score ≥7) in a Russian cohort. Patients and Methods We analyzed urine samples of patients with a total serum PSA ≥2 ng/mL: 31 men with prostate cancer scheduled for radical prostatectomy, 128 men scheduled for first diagnostic biopsy (prebiopsy cohort). PCA3, AMACR, PSA and GPI transcripts were detected by multiplex reverse transcription quantitative polymerase chain reaction, and the results were used for scores for calculation and statistical analysis. Results There was no significant difference between clinically significant and nonsignificant prostate cancer PCA3 scores. However, there was a significant difference in the AMACR score (patients scheduled for radical prostatectomy p=0.0088, prebiopsy cohort p=0.029). We estimated AUCs, optimal cutoffs, sensitivities and specificities for PCa and csPCa detection in the prebiopsy cohort by tPSA, PCA3 score, PCPT Risk Calculator and classification models based on tPSA, PCA3 score and AMACR score. In the clinically significant prostate cancer ROC analysis, the PCA3 score AUC was 0.632 (95%CI: 0.511–0.752), the AMACR score AUC was 0.711 (95%CI: 0.617–0.806) and AUC of classification model based on the PCA3 score, the AMACR score and total PSA was 0.72 (95%CI: 0.58–0.83). In addition, the correlation of the AMACR score with the ratio of total RNA and RNA of prostate cells in urine was shown (tau=0.347, p=6.542e–09). Significant amounts of nonprostate RNA in urine may be a limitation for the AMACR score use. Conclusion The AMACR score is a good predictor of clinically significant prostate cancer. Significant amounts of nonprostate RNA in urine may be a limitation for the AMACR score use. Evaluation of the AMACR score and classification models based on it for clinically significant prostate cancer detection with larger samples and a follow-up analysis is promising.
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Affiliation(s)
- Elena S Kotova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | | | - Yuriy V Doludin
- Sechenov First Moscow State Medical University, Moscow, Russia
| | - Alexander O Vasilyev
- Department of Urology, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - Elena A Prilepskay
- Department of Urology, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | | | - Konstantin A Babalyan
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Alexandra V Kanygina
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | | | - Alexander V Govorov
- Department of Urology, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | | | - Elena S Kostryukova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Elena N Ilina
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Vadim M Govorun
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Dmitry Y Pushkar
- Department of Urology, A.I. Yevdokimov Moscow State University of Medicine and Dentistry, Moscow, Russia
| | - Elena I Sharova
- Department of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
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15
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Ion Channel Profiling in Prostate Cancer: Toward Cell Population-Specific Screening. Rev Physiol Biochem Pharmacol 2020; 181:39-56. [PMID: 32737754 DOI: 10.1007/112_2020_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
In the last three decades, a growing number of studies have implicated ion channels in all essential processes of prostate carcinogenesis, including cell proliferation, apoptosis, migration, and angiogenesis. The changes in the expression of individual ion channels show a specific profile, making these proteins promising clinical biomarkers that may enable better molecular subtyping of the disease and lead to more rapid and accurate clinical decision-making. Expression profiles and channel function are mainly based on the tumoral tissue itself, in this case, the epithelial cancer cell population. To date, little data on the ion channel profile of the cancerous prostate stroma are available, even though tumor interactions with the microenvironment are crucial in carcinogenesis and each distinct population plays a specific role in tumor progression. In this review, we describe ion channel expression profiles specific for the distinct cell population of the tumor microenvironment (stromal, endothelial, neuronal, and neuroendocrine cell populations) and the technical approaches used for efficient separation and screening of these cell populations.
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Kızılay F, Çelik S, Sözen S, Özveren B, Eskiçorapçı S, Özgen M, Özen H, Akdoğan B, Aslan G, Narter F, Çal Ç, Türkeri L. Correlation of Prostate-Imaging Reporting and Data Scoring System scoring on multiparametric prostate magnetic resonance imaging with histopathological factors in radical prostatectomy material in Turkish prostate cancer patients: a multicenter study of the Urooncology Association. Prostate Int 2020; 8:10-15. [PMID: 32257972 PMCID: PMC7125386 DOI: 10.1016/j.prnil.2020.01.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 12/20/2019] [Accepted: 01/06/2020] [Indexed: 12/30/2022] Open
Abstract
Background Histopathological features after radical prostatectomy (RP) provide important information for the prognosis of prostate cancer (PCa). The possible correlations between Prostate-Imaging Reporting and Data Scoring System (PIRADS) scores in multiparametric magnetic resonance imaging (mpMRI) may also be predictive for prognosis. In this study, we aimed to evaluate the correlation of PIRADS scores with histopathological data. Methods A total of 177 patients who underwent preoperative mpMRI and RP for PCa from eight institutions were included in the study. Correlation of PIRADS score in preoperative mpMRI with adverse histopathological factors in RP specimen was investigated using univariate and multivariate analyses. Results The relationship between PIRADS score and postoperative extracapsular extension, lymphovascular invasion, and seminal vesicle involvement was significant (P < 0.001, P = 0.032, and P = 0.007, respectively). Although the PIRADS score was significantly correlated with the number of dissected lymph nodes (p = 0.026), it had no significant correlation with the number of positive nodes (P = 0.611). Total Gleason score, extracapsular extension, seminal vesicle invasion, and number of lymph nodes were found to be independent factors, which correlated with high PIRADS scores in ordinal logistic regression analysis. Conclusion PIRADS scoring system in mpMRI showed a statistically significant correlation with adverse histopathological factors in RP specimen. A higher PIRADS score may help to predict a higher Gleason score, indicating clinically important PCa as well as poor prognotic factors such as extracapsular extension, lymphovascular invasion, and seminal vesicle invasion that may indicate a higher risk of recurrence and the need for additional treatment.
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Affiliation(s)
- Fuat Kızılay
- Ege University, Department of Urology, Izmir, Turkey
| | - Serdar Çelik
- Izmir Bozyaka Training and Research Hospital, Urology Clinic, Izmir, Turkey
| | - Sinan Sözen
- Gazi University, Department of Urology, Ankara, Turkey
| | | | | | | | - Haluk Özen
- Hacettepe University, Department of Urology, Ankara, Turkey
| | - Bülent Akdoğan
- Hacettepe University, Department of Urology, Ankara, Turkey
| | - Güven Aslan
- Dokuz Eylül University, Department of Urology, Izmir, Turkey
| | | | - Çağ Çal
- Ege University, Department of Urology, Izmir, Turkey
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17
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Sönmez G, Tombul ŞT, Demirtaş T, Öztürk F, Demirtaş A. A Comparative Study: Has MRI-guided Fusion Prostate Biopsy Changed the Prostate-specific Antigen Gray-zone Range? Cureus 2019; 11:e6329. [PMID: 31857929 PMCID: PMC6901373 DOI: 10.7759/cureus.6329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Objective The gray-zone prostate-specific antigen (PSA) range is accepted to be 4-10 ng/ml and is considered to vary according to age. We aimed to investigate whether fusion prostate biopsy (FPB), which has been reported to have relatively higher cancer detection rates, has an effect on gray-zone PSA cut-off value. Material and methods This retrospective study included patients that underwent standard prostate biopsy (SPB) or multiparametric magnetic resonance imaging (MpMRI)-guided FPB (SPB+ targeted biopsy). All the patients included in the study were detected with a Prostate Imaging Reporting and Data System (PI-RADS) ≥3 lesion on MpMRI (the FPB group only). The demographics, clinical characteristics, and histopathological diagnoses were recorded for each patient. Results A total of 1,628 patients comprising 1,208 patients in the SPB group and 420 patients in the FPB group were included in the study. The mean PSA level was 9.75±6.68 ng/ml in the FBP group and 10.46±6.46 ng/ml in the SPB group (p=0.053). Prostate cancer (PCa) detection rate was significantly higher in the FPB group as compared to the SPB group (42.4% vs. 36.4%). The PSA cut-off value for PCa was 9.75 ng/ml (sensitivity and specificity, 81%) in the SPB group and was 7.55 ng/ml (sensitivity and specificity, 81% and 84%, respectively) in the FPB group. In the FPB group, the cancer detection rate among the patients with a PSA level of 7.55-10.00 ng/ml was 56.1%. Conclusion The results indicated that the introduction of FPB into clinical practice, which has relatively higher cancer detection rates, has further lowered the upper limit for gray-zone PSA.
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Affiliation(s)
| | | | - Türev Demirtaş
- History of Medicine and Ethics, Erciyes University, Kayseri, TUR
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18
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Abstract
Prostate cancer (PCa) patients are risk-stratified on the basis of clinical stage and PSA level at diagnosis and the Gleason Score (GS) in prostate biopsy. However, these parameters are not completely accurate in discriminating between high- and low-risk disease, creating a need for a reliable marker to determine aggressiveness. Prostate-specific membrane antigen (PSMA) appears to fulfill this need. We analyzed 79 prostate biopsies and 28 prostatectomies to assess whether PSMA expression detected by immunohistochemistry is related to GS. PSMA expression was correlated with GS in both sample types (biopsies, P < 0.0001 and prostatectomy samples, P = 0.007). We observed lower PSMA expression in Gleason pattern 3 than Gleason pattern 4, suggesting that this biomarker could be useful to distinguish between these entities (p < 0.0001). The best cut-off value of 45% immunopositivity was determined by receiver operating characteristic (ROC) curve analysis. In Gleason pattern 3 vs. Gleason pattern 4 and 5, PSMA sensitivity was 84.1% (95% CI 76.5%-91.7%) and specificity was 95.2% (95% CI 90.6%-99.8%), with an area under the curve of 93.1 (95% CI 88.8-97.4). Our results suggest that PSMA represents a potential ally for the pathologist in the diagnostic work-up of PCa to overcome long-standing morphological classification limits.
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